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1803.00933
Cited By
Distributed Prioritized Experience Replay
2 March 2018
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
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Papers citing
"Distributed Prioritized Experience Replay"
50 / 373 papers shown
Title
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma
Mathias Lechner
Noel Loo
Ramin Hasani
Daniela Rus
27
0
0
05 Oct 2023
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
Shengyi Huang
Jiayi Weng
Rujikorn Charakorn
Min-Bin Lin
Zhongwen Xu
Santiago Ontañón
12
3
0
29 Sep 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
AI4CE
17
5
0
28 Sep 2023
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
Kuo-Hao Ho
Ping-Chun Hsieh
Chiu-Chou Lin
You-Ren Luo
Feng-Jian Wang
I-Chen Wu
24
0
0
27 Sep 2023
Uncertainty-driven Exploration Strategies for Online Grasp Learning
Yitian Shi
Philipp Schillinger
Miroslav Gabriel
Alexander Kuss
Zohar Feldman
Hanna Ziesche
Ngo Anh Vien
OffRL
OnRL
21
4
0
21 Sep 2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning
Dejan Grubisic
Bram Wasti
Chris Cummins
John Mellor-Crummey
A. Zlateski
27
0
0
04 Sep 2023
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles
A. H. Kolling
V. A. Kich
J. C. Jesus
Andressa Cavalcante da Silva
Ricardo B. Grando
Paulo L. J. Drews-Jr
D. T. Gamarra
16
3
0
01 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Zexin Li
Aritra Samanta
Yufei Li
Andrea Soltoggio
Hyoseung Kim
Cong Liu
22
6
0
29 Aug 2023
Maneuver Decision-Making Through Proximal Policy Optimization And Monte Carlo Tree Search
Hong-Peng Zhang
23
1
0
28 Aug 2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei
Xutong Zhao
Janarthanan Rajendran
Miao Liu
Sarath Chandar
15
4
0
20 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay
Kevin Denamganai
Daniel Hernández
Ozan Vardal
S. Missaoui
James Alfred Walker
31
0
0
28 Jul 2023
Thinker: Learning to Plan and Act
Stephen Chung
Ivan Anokhin
David M. Krueger
LLMAG
OffRL
LRM
30
5
0
27 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning
Mohammad Dehghani
Zahra Yazdanparast
18
0
0
11 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Hongyang Li
3DV
49
263
0
29 Jun 2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei
Wei Fu
Jiaxuan Gao
Guang Wang
Huanchen Zhang
Yi Wu
OffRL
LRM
24
5
0
29 Jun 2023
Training Deep Surrogate Models with Large Scale Online Learning
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
3DGS
AI4CE
22
4
0
28 Jun 2023
Curious Replay for Model-based Adaptation
Isaac Kauvar
Christopher Doyle
Linqi Zhou
Nick Haber
23
10
0
28 Jun 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
Zhang-Wei Hong
Pulkit Agrawal
Rémi Tachet des Combes
Romain Laroche
OffRL
29
17
0
22 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
Vincent-Pierre Berges
Andrew Szot
Devendra Singh Chaplot
Aaron Gokaslan
Roozbeh Mottaghi
Dhruv Batra
Eric Undersander
LRM
LM&Ro
32
5
0
13 Jun 2023
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks
Pablo Soldati
E. Ghadimi
Burak Demirel
Yu Wang
Raimundas Gaigalas
Mathias Sintorn
11
3
0
09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
Yiding Jiang
J. Zico Kolter
Roberta Raileanu
UQCV
OffRL
30
20
0
08 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li
Yiying Yang
Zheng Yuan
Zhe Wang
Qinwen Wang
Chen Xu
Lei Li
Jianhua He
Lin Zhang
18
2
0
08 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou
Matteo Bettini
Sebastian Dittert
Vikash Kumar
Shagun Sodhani
Xiaomeng Yang
Gianni De Fabritiis
Vincent Moens
OffRL
AI4CE
22
37
0
01 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Kailash Gogineni
Yongsheng Mei
Peng Wei
Tian-Shing Lan
Guru Venkataramani
18
13
0
31 May 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
Yunhao Tang
Tadashi Kozuno
Mark Rowland
A. Harutyunyan
Rémi Munos
Bernardo Avila-Pires
Michal Valko
11
0
0
29 May 2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation
Hikaru Asano
Ryo Yonetani
Mai Nishimura
Tadashi Kozuno
35
0
0
19 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
Yifei Min
Jiafan He
Tianhao Wang
Quanquan Gu
38
7
0
10 May 2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Jinghao Xin
Jinwoo Kim
Zehan Li
Ning Li
OffRL
26
3
0
07 May 2023
Quantum deep Q learning with distributed prioritized experience replay
Samuel Yen-Chi Chen
BDL
28
6
0
19 Apr 2023
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MU
AI4TS
28
2
0
23 Mar 2023
Real-time scheduling of renewable power systems through planning-based reinforcement learning
Shao-Wei Liu
Jinbo Liu
Weirui Ye
Nan Yang
Guanglu Zhang
...
C. Kang
Qirong Jiang
Xuri Song
Fangchun Di
Yang Gao
39
4
0
09 Mar 2023
Hierarchical Reinforcement Learning in Complex 3D Environments
Bernardo Avila-Pires
Feryal M. P. Behbahani
Hubert Soyer
Kyriacos Nikiforou
Thomas Keck
Satinder Singh
OffRL
16
0
0
28 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
39
38
0
21 Feb 2023
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
Luca Giacomoni
Basil Benny
G. Parisis
22
3
0
09 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
P. Sunehag
A. Vezhnevets
Edgar A. Duénez-Guzmán
Igor Mordach
Joel Z Leibo
26
2
0
02 Feb 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks
Christopher W. F. Parsonson
Zacharaya Shabka
Alessandro Ottino
G. Zervas
31
0
0
31 Jan 2023
FedHQL: Federated Heterogeneous Q-Learning
Flint Xiaofeng Fan
Yining Ma
Zhongxiang Dai
Cheston Tan
Bryan Kian Hsiang Low
Roger Wattenhofer
FedML
24
7
0
26 Jan 2023
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets
Peer Nagy
Jan-Peter Calliess
S. Zohren
21
3
0
20 Jan 2023
A Rubric for Human-like Agents and NeuroAI
Ida Momennejad
55
14
0
08 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes
Hang Zhao
Zherong Pan
Yang Yu
Kai Xu
OffRL
34
13
0
05 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
20
13
0
01 Dec 2022
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies
M. Wolk
A. Applebaum
Camron Dennler
P. Dwyer
M. Moskowitz
...
N. Nichols
Nicole Park
Paul Rachwalski
Frank Rau
A. Webster
OffRL
AAML
24
17
0
28 Nov 2022
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning
Hongjie Zhang
OffRL
13
0
0
28 Nov 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control
Xiaoyu Wang
Scott Sanner
Baher Abdulhai
9
5
0
26 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
28
0
0
23 Nov 2022
Reinforcement learning for traffic signal control in hybrid action space
Haoqing Luo
Sheng Jin
32
7
0
23 Nov 2022
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Dmitry Akimov
Sergey Kolesnikov
OffRL
25
14
0
20 Nov 2022
Simulation-Based Parallel Training
Lucas Meyer
Alejandro Ribés
Bruno Raffin
AI4CE
23
2
0
08 Nov 2022
Progress and summary of reinforcement learning on energy management of MPS-EV
Jincheng Hu
Yang Lin
Liang Chu
Zhuoran Hou
Jihan Li
Jingjing Jiang
Yuanjian Zhang
18
11
0
08 Nov 2022
Achieving mouse-level strategic evasion performance using real-time computational planning
German Espinosa
Gabrielle E. Wink
Alexander T. Lai
D. Dombeck
M. A. MacIver
11
2
0
04 Nov 2022
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